Microsoft 070-475日本語 actual dump : Design and Implement Big Data Analytics Solutions (070-475日本語版)

070-475日本語
  • Exam Code: 070-475J
  • Exam Name: Design and Implement Big Data Analytics Solutions (070-475日本語版)
  • Updated: Sep 25, 2026
  • Q & A: 122 Questions and Answers

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70-475 - Designing and Implementing Big Data Analytics Solutions

The 70-475 exam is part of the Azure Big Data Analytics Solutions certification. This exam measures your ability to accomplish the below tasks based on this technology: Big Data Analytics Solutions Please note that this exam on February 2017 was updated.

This certification exam is targeted towards data management professionals, data architects, data scientists, and data developers who design big data analytics solutions on Microsoft Azure. Candidates for this exam will have relevant work experience in big data analytics solutions designing and deployment strategy for an end-to-end solution, This is a list of covered topics:

  • Design for data security
  • Implement master data management solutions
  • Move, transform, and analyze data using MapReduce
  • Deploy con configure SSIS solutions
  • Create and monitor a data factory
  • Design and provision compute clusters
  • Ingest data for real-time processing
  • Troubleshoot data integration issues

Reference: https://www.microsoft.com/en-pk/learning/exam-70-475.aspx

Our 70-475 exam dumps will include those topics:

  • Design big data real-time processing solutions (30-35%)
  • Operationalize end-to-end cloud analytics solutions (30-35%)
  • Design big data batch processing and interactive solutions (30-35%)

For more info visit: Microsoft Official 70-475 Exam Reference

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High level topics covered by our practice test

This Web Simulator is for Microsoft data management professionals, data architects, data scientists, and data developers who design big data analytics solutions on Microsoft Azure. Candidates for this exam will have relevant work experience in big data analytics solutions.

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Microsoft 070-475日本語 Exam Syllabus Topics:

SectionWeightObjectives
Manage Security and Operations10%- Administration
  • 1. Manage operational processes
  • 2. Monitor big data workloads
  • 3. Implement security controls
  • 4. Optimize performance and scalability
Implement Data Ingestion Solutions25%- Data Acquisition
  • 1. Implement streaming data collection
  • 2. Integrate on-premises and cloud data sources
  • 3. Implement Event Hubs ingestion
  • 4. Implement Azure Data Factory pipelines
Implement Big Data Processing30%- Data Processing and Analytics
  • 1. Process data with Hadoop ecosystem tools
  • 2. Develop data transformation workflows
  • 3. Implement HDInsight solutions
  • 4. Implement Spark-based analytics
Design Azure Big Data Solutions25%- Solution Architecture
  • 1. Design data storage strategies
  • 2. Design batch processing solutions
  • 3. Select appropriate Azure big data services
  • 4. Design real-time analytics solutions
Implement Data Visualization and Reporting10%- Business Intelligence
  • 1. Create analytical reports
  • 2. Implement dashboards and visualizations
  • 3. Integrate analytics outputs with reporting platforms

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